Ready for the #seasonality rally? $SPY $SPX $QQQ $COMPQ $DIA $DJIA

November 9, 2018 Leave a comment

A pullback first (subchart #3).

Monitoring the MACD signal (subchart #2)

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The market does look weak $SPX $SPY $DIA $DJIA $COMPQX $QQQ | #markets #heikinashi #technicalanalysis

November 4, 2018 Comments off

S&P-500 ($SPX) daily

  • (+) A reaction
  • (-) MACD is still below its average, in negative territory
  • (-) The close returned at the historical deviation from its 10-bar average

 

  • (-) Damage is done
  • (-) Chikou-span is below the close and has a higher probability to remain so for the next (at least) 10 days
  • (-) Ichimoku cloud is a huge resistance for the next 26 days (the close *must end above the cloud to change the bearish bias of the market)

 

How strong is $AAPL? #markets #Apple #technology

October 28, 2018 Comments off

Apple ($AAPL) daily

  • (+ -) Consolidation at the top with a negative bias

 

Apple ($AAPL) weekly

  • (-) Technical weakness

 

Apple ($AAPL) monthly

  • (+ – ) Uptrend slowdown.

 

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Is the danger gone? $VIX $AMZN $SPY $SPX

October 21, 2018 Comments off

AMZN/VIX daily

AMZN/VIX weekly

  • (-) Higher volatility ahead.

 

AMZN/VIX monthly

  • (-) A possible return of higher volatility.

 

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Measure before cutting: Using CVaR and VaR for cryptocurrencies $BTC.X $ETH.X

October 10, 2018 Comments off

There are many ways to estimate the level of risk one may encounter during trading and investing events.

This short article describes two risk measures that can be easily calculated using historical data and a statistical software (R, Excel):

  1. VaR (Value-at-Risk): The lowest amount of the capital (%) one can lose with a certain level of confidence, in a single event during the period.
  2. CVaR (Conditional Value-at-Risk or Expected Shortfall): The average (%) of all losses greater or equal than VaR for the same confidence level.

CVarR is greater than VaR and is considered more relevant than VaR.

Below, we calculate and discuss these values for three distinct periods in the life of BTCUSD and ETHUSD.

Case #1: September 8 – October 10, 2018 (A very quiet period for cryptocurrencies)

Number of days: 32

VaR95% (BTHUSD) = -1.936% means that every 1.6 days i.e. (1-0.95)*32 days we can lose at least 1.936% of the capital.

CVaR95% (BTHUSD) = -3.005% means that on the day we lose at least 1.936% of the capital, we can expect to lose 3.005% of the capital.

Since CVaR is more relevant than VaR, we calibrate the risk (for a 95% confidence level) for at least 3.005% capital loss on one single event during this period. The same logic applies to each value in the table below, with focus on CVaR.

Case #2: January 1 – October 10, 2018 (Since the start of 2018)

Number of days: 282

VaR99% (ETHUSD) = -14.933% means that every 2.8 days i.e. (1-0.99)*282 days we can lose at least 14.933% of the capital.

CVaR99% (ETHUSD) = -17.26% means that on the day we lose at least 14.933% of the capital, we can expect to lose 17.26% of the capital.

Since CVaR is more relevant than VaR, we calibrate the risk (for a 99% confidence level) for at least 17.26% capital loss on one single event during this period. The same logic applies to each value in the table below, with focus on CVaR.

Case #3: July 10 – December 16, 2017 (A very bullish period)

Number of days: 159

VaR99% (BTCUSD) = -9.651% means that every 1.6 days i.e. (1-0.99)*159 days we can lose at least 9.651% of the capital.

CVaR99% (BTCUSD) = -13.534% means that on the day we lose at least 9.651% of the capital, we can expect to lose 13.534% of the capital.

Since CVaR is more relevant than VaR, we calibrate the risk (for a 99% confidence level) for at least 17.26% capital loss on one single event during this period. The same logic applies to each value in the table below, with focus on CVaR.

To remember

  • Based on historical data, we can calculate expected levels of losses for confidence intervals of our choice (95%, 99%). Value-at-Risk (VaR) and CVaR (Conditional Value-at-Risk or Expected Shortfall) are two measures that can help calibrate the risk.
  • CVaR is higher than VaR for the same confidence level, therefore more representative and its use is recommended.
  • ETHUSD is prone to higher losses than BTCUSD.
  • During trends (Cases #2 and #3), traders may incur higher losses than during quiet periods (Case #1)
  • Focus on losses instead of gains.
  • Same logic can be used for currencies, equities, other cryptocurrencies, other financial instruments.
  • Calculated VaR and CVaR values are not a warranty against future losses. Far more serious losses may occur due to unexpected events.

(Results were generated from GDAX exchange data using the PerformanceAnalytics R package)

 

 

 

Higher risk than reward. A #heikinashi view of an extended market $SPX $SPY $DIA $DJIA

October 7, 2018 Comments off

S&P-500 (yearly)

  • (+) Still in an uptrend.
  • (-)  $SPX needs to make a higher high next year to maintain this trend. Questionable.

S&P-500 (monthly)

  • (+) An 11% deviation is where the breaks scream “Stop!”
  • (-) Slowdown. Mov(C, 10) is closing up with the price, despite the last euphoric segment.
  • (+-) Danger zone when the close will go below its 10-month average.

 

S&P-500 (weekly)

  • (-) Slowdown. The 10-week average is closing up with the price (price is slower than the average).

 

S&P-500 (daily)

  • (-) Short-term, trouble. The recent low should not go below the one in September. Otherwise, the uptrend gets weaker.
  • (-+) Levels of support (blue dashed lines).

 

Categories: heikin-ashi Tags: , , , , ,

Why oversold doesn’t mean ‘sell’

September 9, 2018 Comments off

The most extended monthly charts in the SP-500 index.

Are they a ‘Sell’ because of this? No, unless several support levels are broken.

$ALGN monthly chart

XL Capital ($XL) monthly chart

Advanced Auto Parts ($AAP) monthly chart

Amazon ($AMZN) monthly chart

Netflix ($NFLX) monthly chart

Advanced Micro Devices ($AMD) monthly chart

Chipotle ($CMG) monthly chart

Adobe ($ADBE) monthly chart

 

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